Santoso, Amelia (2021) Optimalisasi Sistem Distribusi Dari Distribution Center Ke Beberapa Stock Point Dengan Pendekatan Discrete-Event Simulation (Studi Kasus: Perusahaan Distributor Fast-Moving Consumer Goods Di Indonesia). Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Secara umum, biaya logistik dibagi menjadi beberapa komponen yakni biaya transpotasi (freight cost), biaya penyimpanan dan persediaan barang, biaya administrasi, biaya pajak, biaya risiko dan kerusakan, serta biaya penanganan dan pengepakan. PT. X merupakan salah satu anak perusahaan industri manufaktur food & beverages terbesar di Indonesia yang bergerak di bidang distributor fast-moving consumer goods (FMCG). Penyumbang biaya terbesar dalam kegiatan operasional logistik PT. X adalah biaya ekspedisi (freight cost) yakni sebesar 64,92% dari total keseluruhan. Maka dari itu, strategi proses distribusi menjadi perhatian utama. Salah satu permasalahan pada PT. X adalah tidak tercapainya target ritase harian pengiriman, sekaligus berupaya untuk meminimalisir freight cost pada proses distribusi. Model skenario alternatif perbaikan untuk membantu menyelesaikan permasalahan adalah dengan penentuan beberapa kebijakan terkait penjadwalan keberangkatan masing-masing area, serta time windows operasional yang disesuaikan dengan beberapa faktor. Penyelesaian masalah menggunakan pendekatan discrete-event simulation (DES) dengan bantuan software ARENA. Hal ini untuk mengetahui pengaruh kebijakan terhadap parameter yang telah ditentukan yakni capaian ritase harian dan minimalisir freight cost, serta dapat mengoptimalkan kegiatan operasional distribusi. Penerapan alternatif skenario terbaik, dapat meningkatkan persentase keberhasilan pengiriman sebesar 20,45% dengan capaian ritase 18 pengiriman/hari. Serta mengurangi waktu tunggu setiap area pengiriman sebesar 50-70% dan waktu siklus pengiriman sebesar 5,47% untuk RIT 1 dan 9,82% untuk RIT 2. Oleh karena itu, gap freight cost antara target dengan aktual juga menjadi berkurang yakni sebesar Rp. 40.656.000,- dengan persentase efficiency cost 21,69% (akumulasi per tahun).
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In general, logistics costs are divided into several components, namely transportation costs (freight costs), storage and inventory costs, administrative costs, tax costs, risk and damage costs, and handling and packaging costs. PT. X is a subsidiary of the largest food & beverage manufacturing industry in Indonesia which is engaged in the distributor of fast-moving consumer goods (FMCG). The biggest cost contributor in the logistics operations of PT. X is the cost of the expedition (freight cost) which is 64.92% of the total. Therefore, the distribution process strategy is a major concern. One of the problems at PT. X is not achieving the daily delivery rate target, as well as trying to minimize freight costs in the distribution process. The alternative scenario model for improvement to help solve the problem is by determining several policies related to the departure scheduling of each area, as well as operational time windows that are adjusted to several factors. Problem-solving using a discrete-event simulation (DES) approach with the help of ARENA software. This is to determine the effect of the policy on the predetermined parameters, namely the achievement of daily rates and minimizing freight costs, as well as optimizing distribution operations. The implementation of the best scenario alternative can increase the percentage of successful delivery by 20.45% with an achievement rate of 18 deliveries/day. As well as reducing the waiting time for each delivery area by 50-70% and delivery cycle time by 5.47% for RIT 1 and 9.82% for RIT 2. Therefore, the freight cost gap between the target and the actual is also reduced by Rp. . 40.656.000,- with a percentage efficiency cost of 21.69% (accumulated per year).
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Sistem Distribusi, Discrete-Event Simulation, ARENA Simulation, Ritase Pengiriman, Freight Cost, Distribution System, Shipping Ritase. |
| Subjects: | T Technology > T Technology (General) > T57.62 Simulation T Technology > T Technology (General) > T58.62 Decision support systems T Technology > T Technology (General) > T58.8 Productivity. Efficiency T Technology > TF Railroad engineering and operation > TF193 Estimates, costs, etc. |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis |
| Depositing User: | Amelia Santoso |
| Date Deposited: | 04 Aug 2021 06:09 |
| Last Modified: | 14 Jun 2024 08:15 |
| URI: | http://repository.its.ac.id/id/eprint/84797 |
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